scholarly journals Network-coded cooperative communications with multiple relay nodes: Achievable rate and network optimization

2016 ◽  
Vol 53 ◽  
pp. 79-93 ◽  
Author(s):  
Sushant Sharma ◽  
Yi Shi ◽  
Y. Thomas Hou ◽  
Sastry Kompella ◽  
Scott F. Midkiff
2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Jong Yeol Ryu ◽  
Jung Hoon Lee

In this paper, we propose transmission strategies in multiple-input-single-output (MISO) cooperative communications with two relay nodes in cases when the relay nodes have different trust degrees, where the trust degrees represent how much the relay nodes can be trusted for cooperation. For the given trust degrees and channel conditions, we first derive a relay selection strategy that maximizes the expected achievable rate. We then propose a cooperative transmission strategy of relays with an optimal cooperative beamforming vector that maximizes the expected achievable rate, which is a linear combination of weighted channel vectors. Finally, we derive the optimal transmission strategy, which is a mixed strategy between the relay selection and cooperative transmission strategies with respect to the trust degrees. Our analysis and numerical results show that the proposed transmission strategies increase the expected achievable rate by exploiting the trust degrees of the relay nodes, along with the channel conditions.


IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 27649-27658 ◽  
Author(s):  
Zhiqiang He ◽  
Jiaolong Yang ◽  
Xiaodan Wang ◽  
Yang Liu ◽  
Yue Rong

2007 ◽  
Vol E90-B (9) ◽  
pp. 2541-2551 ◽  
Author(s):  
H. SHI ◽  
T. ABE ◽  
T. ASAI ◽  
H. YOSHINO

2020 ◽  
Vol 26 (4) ◽  
pp. 325-338
Author(s):  
S. Radha ◽  
G. Josemin Bala ◽  
E. Grace Mary Kanaga ◽  
P. Nagabushanam

False data detection, intrusion detection and coverage rate are major challenges in wireless sensor networks (WSN). Scheduling in media access control (MAC) using gateway and relay nodes solve some of the problems. In this paper, we carried out a brief survey on scheduling, delay aware MAC, cooperative communications in MAC, and adaptive listening to keep controlling the energy in sensors. In addition, multichannel MAC and various routing strategy techniques for WSN are discussed. Firefly algorithm for dynamic scheduling pipelined scheduling for linear sensor networks gives better throughput and latency. Heuristic configuration solves the overhearing problem, as node power-based MAC controls power of each node. Based on WSN applications and the performance metrics concentrated, various techniques for MAC are discussed throughout in this paper.


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